On the post-design aspects of human/animalelectrocardiogram P-QRS-T detection algorithms

This paper describes how one can design a computer program and implementit on an ordinary pc or pda for detecting very long duration electrocardiogram(ecg) pqrst events with processing capability (time complexity) of less than 1300clock/samples, with an accuracy of more than 99.86%. for detecting and delineating qrscomplexes, a noise-robust instantaneous concavity analysis was applied. for detectingand delineating p- and t-waves, the analysis of local extremums of the qrs-eliminatedsignal was used. the proposed method was applied to several databases (more than1,000,000 beats; normal or abnormal) with dierent sampling frequencies and bit-rates.after application of the algorithm, the average detection sensitivity, se = 99:96%, andpositive predictivity, p+ = 99:94%, were obtained for the qrs complex. the averagedelineation errors were about ??3:0 msec, 2.5 msec and 2.8 msec for p-qrs-t events,respectively. by implementing the proposed algorithm computer program to selecteddatabases, the required variation for the core parameter sets of the program was about0:0% for all sampling frequencies and bit rates. the maximum computational complexityrequired during application of the method to databases was estimated to be lower than1300 clocks/sample. these merits make the algorithm eligible for implementation by amobile-phone or pda.